Be an early applicantLess than 25 applicants

Company

NVIDIA · 4 hours ago

Senior Deep Learning Algorithm Engineer

California, United States

Full-time

Remote

Mid, Senior Level

$148K/yr - $276K/yr

2+ years exp

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Artificial Intelligence (AI)GPU

Growth Opportunities

H1B Sponsor Likely

Hiring Manager

Deepika Yammanur (she/her/hers)

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Responsibilities

Understand, analyze, profile, and optimize deep learning training workloads on state-of-the-art hardware and software platforms.

Collaborate with researchers and engineers across NVIDIA, providing guidance on improving the performance of workloads.

Implement production-quality software across NVIDIA's deep learning platform stack.

Build tools to automate workload analysis, workload optimization, and other critical workflows.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Deep LearningNeural NetworksC++PythonGPU ArchitecturePerformance AnalysisPerformance OptimizationAlgorithmsCUDAOpenCLSystems Performance Modelling

Required

PhD in CS, EE or CSEE or equivalent experience.

2+ years of experience.

Strong background in deep learning and neural networks, in particular training.

Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture.

Proven experience analyzing, modeling and tuning application performance.

Programming skills in C++ and Python.

Preferred

Strong fundamentals in algorithms.

Proven experience with processor and system-level performance modelling.

GPU programming experience (CUDA or OpenCL) is a strong plus but not required.

Benefits

Equity

Benefits

Company

NVIDIA

Glassdoor

4.6

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

Founded in 1993

Santa Clara, California, USA

10,001+ employees

https://www.nvidia.com

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2023 (735)

2022 (892)

2021 (696)

2020 (534)